{"id":"W3088065576","doi":"10.15447//sfews.2020v18iss3art2","title":"Disease in Central Valley Salmon: Status and Lessons from Other Systems","year":2020,"lang":"en","type":"article","venue":"San Francisco Estuary and Watershed Science","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"University of California, Davis; Bureau of Reclamation; California Department of Fish and Wildlife","keywords":"Stressor; Disease; Oncorhynchus; Geography; Population; Fishery; Environmental planning; Environmental resource management; Ecology; Biology; Fish <Actinopterygii>; Environmental health; Medicine; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001629335,0.0002713721,0.0004425609,0.001324628,0.001249032,0.002335435,0.0007027592,0.0008344353,0.001592753],"category_scores_gemma":[0.00185184,0.0001648074,0.000500174,0.001750883,0.000987147,0.001369722,0.001150282,0.0007848305,0.0001198655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002872508,"about_ca_system_score_gemma":0.005190018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2885956,"about_ca_topic_score_gemma":0.4971528,"domain_scores_codex":[0.9994097,0.0001386268,0.00003744663,0.0001103162,0.0000897803,0.0002141037],"domain_scores_gemma":[0.9985271,0.0002669206,0.0002245023,0.00006651439,0.0005297366,0.0003853291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000342899,0.0002326938,0.8280135,0.0008246825,0.0001776109,0.0008512009,0.009945498,0.0007207264,0.001236224,0.001172229,0.006086389,0.1503965],"study_design_scores_gemma":[0.00003512998,0.0004656123,0.9598092,0.001285765,0.0001017524,0.0005576121,0.02144529,0.0008011161,0.0002256034,0.001607495,0.01361938,0.00004601737],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464029,0.03555232,0.0005646583,0.007727409,0.0001905846,0.00006127463,0.0008188621,0.00003437615,0.008647642],"genre_scores_gemma":[0.9755721,0.01989775,0.0006822678,0.001614825,0.0001092203,0.00003462615,0.0007823529,0.000009388853,0.001297422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2885956,"threshold_uncertainty_score":0.5738315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01363601325914094,"score_gpt":0.218456738138054,"score_spread":0.204820724878913,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}